We built a complete training platform using a network simulation engine at its core. It is a scalable and distributed system enabling multiple trainers interacting with multiple trainees and observing them achieve the goals of training. The systems has the ability to train simulated attacks, real attacks, network visualization. A complete log and recording for post training review and evaluation.

Real time voice and text collaboration is possible between trainees and trainers. The system is completely scalable where all the components can work on a single or multiple systems.

The platform has a loosely coupled service architecture where service producers and consumers are connected using a service bus over multiple channels.

Technologies used

• JavaScript, Python and Django web server.
• Node.js,ext.js
• C++, QT
• Freeswitch was used for Voice chat.

Development Life cycle

Agile methodology with multiple iterations and releases.

Our customer is in business of using RFID for managing in-store sensors and display tags. They have deployed these RF platforms for many retail chains. The dashboard solution provides real time health status of in-store RF platform. It has ability to quickly zoom in to the store experiencing problem and troubleshoot the problem. The dashboard is totally customizable with multiple tabs and number of of portlets showing a specific view. The solution is internationalized .

Technologies used

Java, EXT-JS, Node.js, Rabbit MQ, Elastic search

Development Life cycle

Iterative lifecycle to incrementally develop features.